Atherosclerosis

Machine learning application identifies novel gene signatures from transcriptomic data of spontaneous canine hemangiosarcoma.

Angiosarcomas are soft-tissue sarcomas that form malignant vascular tissues. Angiosarcomas are very ...

[Deep learning-based dental plaque detection on permanent teeth and the influenced factors].

To develop an artificial intelligence system for detecting dental plaque on permanent teeth and fin...

Artificial intelligence for fully automatic segmentation of abdominal aortic aneurysm using convolutional neural networks.

Artificial intelligence and automatic segmentation of abdominal aortic aneurysm: Past, present, and future.

Joint Associations of Multiple Dietary Components With Cardiovascular Disease Risk: A Machine-Learning Approach.

The human diet consists of a complex mixture of components. To realistically assess dietary impacts ...

Verification and comparison of three prediction models of ischemic stroke in young adults based on the back propagation neural networks.

This work aims to explore risk factors for ischemic stroke in young adults and analyze the Tradition...

Generative models for predicting chemical composition of gallstones.

OBJECTIVE: As we know, gallstones are a gallbladder disease with high incidence around the world. As...

NOS3 rs1799983 and rs2070744 polymorphisms and their association with advanced chronic kidney disease and coronary heart disease in Canarian population with type 2 diabetes.

CONTEXT: Different polymorphisms of the endothelial nitric oxide synthase gene (NOS3) have been rela...

Colorectal Cancer Detected by Machine Learning Models Using Conventional Laboratory Test Data.

Current diagnostic methods for colorectal cancer (CRC) are colonoscopy and sigmoidoscopy, which are...

Detection of Asymptomatic Carotid Artery Stenosis in High-Risk Individuals of Stroke Using a Machine-Learning Algorithm.

Objective Asymptomatic carotid stenosis (ACS) is closely associated to the incidence of severe cereb...

Correlation between Immune-Inflammatory Markers and Clinical Features in Patients with Acute Ischemic Stroke.

OBJECTIVE: Chronic inflammatory processes involving the vascular wall may induce atherosclerosis. Im...

Optical coherence tomography-based diabetic macula edema screening with artificial intelligence.

BACKGROUND: Optical coherence tomography (OCT) is considered as a sensitive and noninvasive tool to ...

Machine Learning Improves Cardiovascular Risk Definition for Young, Asymptomatic Individuals.

BACKGROUND: Clinical practice guidelines recommend assessment of subclinical atherosclerosis using i...

Deep Learning for Virtual Histological Staining of Bright-Field Microscopic Images of Unlabeled Carotid Artery Tissue.

PURPOSE: Histological analysis of artery tissue samples is a widely used method for diagnosis and qu...

Measuring Anatomical Outcomes of Anti-Vascular Endothelial Growth Factor Treatment of Diabetic Macular Edema With Artificial Intelligence-A Step Toward Individualized Medicine.

A Preliminary Study of Predicting Effectiveness of Anti-VEGF Injection Using OCT Images Based on Deep Learning.

Deep learning based radiomics have made great progress such as CNN based diagnosis and U-Net based s...

Prediction of atherosclerotic disease progression combining computational modelling with machine learning.

Non-invasive serial computed tomography coronary angiography (CTCA) was acquired from 32 patients an...

A deep learning oriented method for automated 3D reconstruction of carotid arterial trees from MR imaging.

The scope of this paper is to present a new carotid vessel segmentation algorithm implementing the U...

Locate the Superficial Femoral Artery with Occlusion by Deep Neural Network Correcting Interpolation.

In clinical practice, doctors usually use computed tomography angiography (CTA) to examine lower ext...

Multifunctional surface microrollers for targeted cargo delivery in physiological blood flow.

Mobile microrobots offer great promise for minimally invasive targeted medical theranostic applicati...

Automated interpretation of the coronary angioscopy with deep convolutional neural networks.

BACKGROUND: Coronary angioscopy (CAS) is a useful modality to assess atherosclerotic changes, but in...